2009
DOI: 10.1016/j.geomorph.2009.04.017
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Evaluating and comparing methods of sinkhole susceptibility mapping in the Ebro Valley evaporite karst (NE Spain)

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Cited by 93 publications
(71 citation statements)
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“…The Ripon area in the UK, for example, is zoned on the basis of the distribution of subsidence features, the up-dip limit (Figure 4, section A, west side) of the gypsum and the down-dip transition from gypsum to anhydrite ( Figure 5, contact between zones C and B; Thompson et al, 1998;Paukštys et al, 1999). Where good datasets are available, independently tested susceptibility models based on statistical analysis, the density of sinkholes or the proximity of each point to the existing sinkholes permits more precise and objective delineation of the subsidence-prone and safe zones (Galve et al, 2008(Galve et al, , 2009b.…”
Section: Cities and Townsmentioning
confidence: 99%
See 2 more Smart Citations
“…The Ripon area in the UK, for example, is zoned on the basis of the distribution of subsidence features, the up-dip limit (Figure 4, section A, west side) of the gypsum and the down-dip transition from gypsum to anhydrite ( Figure 5, contact between zones C and B; Thompson et al, 1998;Paukštys et al, 1999). Where good datasets are available, independently tested susceptibility models based on statistical analysis, the density of sinkholes or the proximity of each point to the existing sinkholes permits more precise and objective delineation of the subsidence-prone and safe zones (Galve et al, 2008(Galve et al, , 2009b.…”
Section: Cities and Townsmentioning
confidence: 99%
“…A complete karst inventory including subsidence features gives an indication of the spatial distribution and severity of the problem (Cooper, 1998;Galve et al, 2009a). This type of information can then be analyzed with respect to other parameters using GIS techniques to produce susceptibility and hazard models (Galve et al, 2008(Galve et al, , 2009b. Yilmaz (2007) working in the Sivas gypsum karst, Turkey, considered multiple parameters related to the topography, geology, hydrology, human structures and vegetation to calculate a susceptibility map.…”
Section: Surveying Sinkhole Susceptibility Gis and Planningmentioning
confidence: 99%
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“…Gao and Alexander (2003) and Bruno et al (2008) used a decision tree, Lamelas et al (2008) chose logistic regression. Applying several karst susceptibility assessment methodologies to the Ebro Valley, Galve et al (2009) noted that models derived from the nearest neighbour distance and sinkhole density were more reliable than the probabilistic or heuristic methods. These tool types, however, are only based on the initial collection of data and thus favour the best informed sectors so that the susceptibility assessment might result in outlining the sectors where the information on the cavities is available.…”
Section: Introductionmentioning
confidence: 99%
“…ground instability) measures the spatial probability of its appearance at the surface, without any reference to a temporal frequency associated with the hazard (Galve et al, 2009). This susceptibility level is a decision indicator for the decision maker, and is here assessed quantitatively as an "index".…”
Section: Introductionmentioning
confidence: 99%